Dataify

Dataify

Data service site for AI applications

4.0· Editor Rating

Editor Review

When preparing training text or watching competitors, decide first whether to buy a finished dataset or call an API to collect it. The web collection API targets structured fields from commerce and social sites, and the search-result API fetches search engine result pages. The video API covers captions, comments, and metadata. Network options split into rotating or sticky residential proxies, high bandwidth for large transfers, and fixed ISP or data-center lines. Some lines say you must contact sales for a specification. It fits data teams who need public pages, search results, or training material and can wire up the APIs themselves.

AI Tools Navigator Editorial TeamUpdated: 2026-10-09

What is Dataify

Dataify is a data service site for AI applications. The crawled page does not name an operating company. It offers ready-made datasets, collection APIs, and network resources. Datasets are grouped by audio-video, image, and text, and also by commerce, social media, and sources such as LinkedIn, video sites, and shopping sites. Collection APIs cover web pages, search result pages, video data, and general collection, with notes for agent tool calls. Network options include rotating residential proxies, high bandwidth, static ISP lines, and static data-center lines. The page has a trial entry, and APIs and network usage are billed by volume.

Basic Info

Category:

Best For

Model-training data teamsE-commerce price monitorsSearch-result analysts

Difficulty: Advanced

Dataify Key Features

  • Ready-made dataset store

    It offers prepared audio-video, image, and text datasets, plus commerce and social sets, and you can browse them by source platform.

  • Web and search collection

    The web API extracts structured fields from commerce and social sites, and the search API returns search engine result pages.

  • Video data API

    It can fetch captions, comments, and metadata for videos, so you can organize public video content rather than storing only a link.

  • Residential and data-center lines

    Rotating residential access supports rotation and sticky sessions, alongside high bandwidth, static ISP lines, and static data-center lines.

Dataify Key Advantages

  • Finished datasets and live collection APIs are separate, so training material and ad-hoc monitoring can use different entries
  • Search results, web fields, video captions, and comments each have their own API
  • Residential access supports rotation and sticky sessions, and fixed ISP lines are also listed
  • The site provides agent-call notes and API docs so the services can join an existing collection flow

Dataify Use Cases

  • Prepare model training material

    A training team picks finished text, image, or audio-video datasets, or orders multimodal material for pretraining and fine-tuning.

  • Watch products and competitors

    An e-commerce analyst uses the collection API to track prices, stock, and product details on public pages.

  • Track search result pages

    A search operator uses the search-result API to read result pages for keywords and compare ranking and page changes.

Frequently Asked Questions

▶How are datasets different from the collection APIs?

The dataset store sells material that is already prepared, delivered by audio-video, image, text, commerce, or social scenario. The collection APIs fetch public pages on request, including web fields, search results, video captions, and comments. Training material can be bought ready-made, while price and stock monitoring fits live collection. They are listed side by side, not as one button.

▶Do I have to buy network access together with collection?

The page lists basic network access as its own group, covering residential proxies, high bandwidth, static ISP lines, and static data centers, next to collection APIs and datasets. Residential access supports rotation and sticky sessions, and high bandwidth is for large transfers. The text does not say they must be bought together, so choose them separately on the pricing page.

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